In our previous blog post, “MaxEnt Algorithm: Using Machine Learning to Improve Species Distribution Modeling“, we introduced the benefits of
Habitat suitability and species distribution modeling are powerful tools that can inform conservation and management efforts for threatened and endangered
For years, scientists have used environmental variables such as temperature, precipitation, and topography to model species distributions. While these variables
High-resolution data, such as satellite imagery, is becoming increasingly important for developing accurate species distribution models. With advancements in remote
Habitat suitability and distribution models are increasingly being used to inform conservation efforts, allowing scientists to identify priority areas for
MaxEnt, short for Maximum Entropy, is a machine learning algorithm that has been widely used in species distribution modeling. It